Transaction terminals for automated billing

ABSTRACT

A device may receive receipt information associated with items in an order. The receipt information may include item identifiers and price descriptors associated with the items in the order. The device may receive product information associated with the items in the order. The product information may include product identifiers based on images of the items in the order and object descriptors. The device may map a first item identifier for a first item in the order and a first product identifier for determining that the first item corresponds to a first price descriptor and a first object descriptor. The device may map a second item identifier for a second item in the order and a second product identifier for determining that the second item corresponds to a second price descriptor and a second object descriptor. The device may assign the first and second items to respective first and second sub-receipts.

RELATED APPLICATION

This application is a continuation of U.S. patent application Ser. No.16/002,930, filed Jun. 7, 2018, which is incorporated herein byreference.

BACKGROUND

Transaction terminals, such as point of sale (POS) devices, includehardware and software components that facilitate completion of retailtransactions for goods and services. Merchants may calculate an amountowed by a customer and present an itemized receipt to the customer forpayment. The customer may use the POS device to make the payment to themerchant in exchange for the goods or services. After receiving paymentfor the goods or services, the merchant may issue a printed orelectronic receipt to memorialize the completed transaction.

SUMMARY

According to some possible implementations, a method may includereceiving, by a processor of a transaction terminal, receipt informationassociated with items included in an order. The receipt information mayinclude item identifiers associated with the items included in theorder. The item identifiers may include or be associated with pricedescriptors. The method may include receiving, by the processor, productinformation associated with the items included in the order. The productinformation may include product identifiers based on images of the itemsincluded in the order. The product identifiers may include or beassociated with object descriptors. The method may include mapping, bythe processor, a first item identifier associated with a first itemincluded in the order and a first product identifier for determiningthat the first item included in the order corresponds to a first pricedescriptor and a first object descriptor. The method may includemapping, by the processor, a second item identifier associated with asecond item included in the order and a second product identifier fordetermining that the second item included in the order corresponds to asecond price descriptor and a second object descriptor. The method mayinclude assigning, by the processor, the first item included in theorder to a first sub-receipt of a total receipt based on determiningthat the first item included in the order corresponds to the first pricedescriptor and the first object descriptor. The method may includeassigning, by the processor, the second item included in the order to asecond sub-receipt of the total receipt based on determining that thesecond item included in the order corresponds to the second pricedescriptor and the second object descriptor. The method may includepresenting, by the processor, the first sub-receipt for payment by afirst customer, and presenting, by the processor, the second sub-receiptfor payment by a second customer.

According to some possible implementations, a device may include one ormore memories, and one or more processors, communicatively coupled tothe one or more memories, to receive receipt information associated withitems included in an order. The receipt information may include itemidentifiers associated with the items included in the order. The itemidentifiers, associated with the items included in the order, includeprice descriptors. The one or more processors may receive productinformation associated with the items included in the order. The productinformation may include product identifiers based on images of the itemsincluded in the order. The product identifiers may include objectdescriptors. The one or more processors may map a first item identifierassociated with a first item included in the order and a first productidentifier for determining that the first item included in the ordercorresponds to a first price descriptor and a first object descriptor.The one or more processors may map a second item identifier associatedwith a second item included in the order and a second product identifierfor determining that the second item included in the order correspondsto a second price descriptor and a second object descriptor. The one ormore processors may assign the first item included in the order to afirst sub-receipt of a total receipt based on determining that the firstitem included in the order corresponds to the first price descriptor andthe first object descriptor, and assign the second item included in theorder to a second sub-receipt of the total receipt based on determiningthat the second item included in the order corresponds to the secondprice descriptor and the second object descriptor. The one or moreprocessors may present the first sub-receipt for payment by a firstcustomer, present the second sub-receipt for payment by a secondcustomer, process a first transaction card to pay the first sub-receiptafter presenting the first sub-receipt for payment, and process a secondtransaction card to pay the second sub-receipt after presenting thesecond sub-receipt for payment.

According to some possible implementations, a non-transitorycomputer-readable medium may store one or more instructions that, whenexecuted by one or more processors, cause the one or more processors toreceive receipt information associated with items included in an order.The receipt information may include item identifiers associated with theitems included in the order. The item identifiers, associated with theitems included in the order, include price descriptors. The one or moreinstructions, when executed by the one or more processors, may receiveproduct information associated with the items included in the order. Theproduct information may include product identifiers based on images ofthe items included in the order. The product identifiers, based onimages of the items included in the order, may include objectdescriptors. The one or more instructions, when executed by the one ormore processors, may cause the one or more processors to map a firstitem identifier associated with a first item included in the order and afirst product identifier for determining that the first item included inthe order corresponds to a first price descriptor and a first objectdescriptor. The one or more instructions, when executed by the one ormore processors, may cause the one or more processors to map a seconditem identifier associated with a second item included in the order anda second product identifier for determining that the second itemincluded in the order corresponds to a second price descriptor and asecond object descriptor. The one or more instructions, when executed bythe one or more processors, may cause the one or more processors toassign the first item included in the order to a first sub-receipt basedon determining that the first item included in the order corresponds tothe first price descriptor and the first object descriptor. The one ormore instructions, when executed by the one or more processors, maycause the one or more processors to assign the second item included inthe order to a second sub-receipt based on determining that the seconditem included in the order corresponds to the second price descriptorand the second object descriptor. The one or more instructions, whenexecuted by the one or more processors, may cause the one or moreprocessors to present first sub-receipt for payment by a first customerand present the second sub-receipt for payment by a second customer. Theone or more instructions, when executed by the one or more processors,may cause the one or more processors to receive a request to modify thefirst sub-receipt. The request to modify the first sub-receipt mayidentify a third item included in the order to be added the firstsub-receipt. The one or more instructions, when executed by the one ormore processors, may cause the one or more processors to assign thethird item included in the order to the first sub-receipt, to form amodified first sub-receipt, based on receiving the request to modify thefirst sub-receipt. The one or more instructions, when executed by theone or more processors, may cause the one or more processors to presentthe modified first sub-receipt for payment by the first customer.

BRIEF DESCRIPTION OF THE DRAWINGS

FIGS. 1A-1F are diagrams of an example implementation described herein.

FIG. 2 is a diagram of an example environment in which systems and/ormethods, described herein, may be implemented.

FIG. 3 is a diagram of example components of one or more devices of FIG.2.

FIG. 4 is a flow chart of an example process for automated billing.

FIG. 5 is a flow chart of an example process for automated billing.

FIG. 6 is a flow chart of an example process for automated billing.

DETAILED DESCRIPTION

The following detailed description of example implementations refers tothe accompanying drawings. The same reference numbers in differentdrawings may identify the same or similar elements.

Transaction terminals may be used to complete payment transactions atvarious merchant locations. In some cases, a group of customers placesan order. For example, the group of customers may sit at a table andplace an order for a meal at a restaurant. A merchant employee (e.g., aserver, a bartender, a cashier, etc.) may access a transaction terminalto generate and print one bill or receipt for a total payment for orderof the meal at the restaurant, which may be presented to the group ofcustomers placing the order. In some cases, the merchant employee may beasked to split the receipt among customers in the group of customers. Inthis case, the merchant employee must then manually split the receiptinto multiple receipts based on instructions from the customers. Themerchant employee may then manually interface multiple transaction cardswith the transaction terminal to satisfy the total payment for the orderof the meal. Manually splitting the receipt into multiple receipts andmanually processing multiple transaction cards is both time and laborintensive. Moreover, relying on the merchant employee to accuratelysplit the receipt into the multiple receipts and process the multipletransaction cards may lead to errors. For example, a customer mayerroneously pay for an item that was not ordered by the customer or awrong transaction card may be processed for a wrong amount.

Some implementations described herein provide a transaction terminalthat is capable of receiving, processing, analyzing, and/or correlatingreceipt information and product information to automate various aspectsrelating to billing. For example, the transaction terminal may automatethe generation and/or presentation of multiple sub-receipts from onereceipt for an order placed by multiple customers, thus, automating thesplitting of the one receipt. The transaction terminal may furtherautomate payment processing to complete payment transactions for themultiple sub-receipts for the order.

In some implementations, the receipt information may include itemidentifiers associated with items included in the order, and the itemidentifiers may include price descriptors. The product information mayinclude product identifiers based on images of the items included in theorder, and the product identifiers may be associated with objectdescriptors (e.g., descriptors indicating the location of the itemsincluded in the order, descriptors indicating the customer placing theorder, descriptors of an order identifier, etc.). Multiple sub-receiptsmay be generated, in some implementations, by mapping the itemidentifiers and the product identifiers and assigning the items includedin the order to individual sub-receipts based on the object descriptors.In this way, the transaction terminal obviates the need for manuallysplitting of the one receipt into the multiple sub-receipts for theorder. Further, the transaction terminal may automatically processpayments for the multiple sub-receipts based on the object descriptors,which obviates the need for the merchant employee having to manuallyprocess multiple payments. In this way, the transaction terminalimproves the efficiency at which billing occurs by virtue of automatedreceipt splitting, automated payment presentation, and/or automatedpayment processing. For example, computing resources associated with thetransaction terminal that would otherwise be consumed by interactingwith the merchant employee as the merchant employee manually enters datafor the multiple sub-receipts may be conserved. Computing resourcesassociated with the transaction terminal may further be conserved byvirtue of conserving computing resources that would otherwise be used tofix mistakes associated with manually splitting the receipt and/orsplitting the payment processing.

In some implementations, the transaction terminal includes a userinterface, which facilitates automated presentation of the multiplesub-receipts while enabling modifications to be made to the multiplesub-receipts. For example, providing the transaction terminal with theuser interface enables customers to customize the itemization of themultiple sub-receipts without the need for intervention by the merchantemployee. Furthermore, providing the transaction terminal with the userinterface obviates the need for customers having to download or utilizemerchant-specific and/or transaction card association-specific paymentapplications for completing payment transactions, which conservescomputing resources and/or reduces network traffic that would otherwisebe used to download or utilize these applications.

In some implementations, the transaction terminal can further automatebilling by automating procedures for responding to one or more declinedpayments for the order. For example, the transaction terminal mayexecute a set of predetermined rules or instructions that instruct thetransaction terminal to process approved transaction cards associatedwith the order to settle a debt for a declined payment. Additionally, oralternatively, the transaction terminal may receive customer input byway of the user interface to receive instructions from one or morecustomers associated with the order regarding the method of settling thedebt for the declined payment. For example, the transaction terminal mayreceive instructions from the one or more customers associated with theorder to process another customer's card in the event of the declinedpayment. The transaction terminal herein may include a storage elementthat allows payment information for transaction cards associated with anorder to be stored, locally, by the transaction terminal in the event ofa declined payment so that the transaction terminal may automaticallyprocess the remaining approved transaction cards to settle the debt forthe declined amount, in some implementations.

FIGS. 1A-1F are diagrams of an example implementation 100 describedherein. As shown in FIGS. 1A-1F, example implementation 100 may includea transaction terminal with a user interface. The transaction terminalmay be associated with a transaction backend device and/or an imagingplatform that receives data from an image capture device.

As shown in FIG. 1A, and by reference number 102, the image capturedevice may capture an image (e.g., an image file, a digital image file,etc.) and location data for a first customer. In some implementations,the image and location data may be associated with one or more goods orservices being ordered by or delivered to the first customer. In someimplementations, the image data may be associated with the one or moregoods or services being ordered by or delivered to the first customerwhile the location data may correspond to a location of the customer(e.g., a seat of the customer, a table setting of the customer, etc.).As an example, in this case, the image and location data may beassociated with one or more food and/or beverage items being deliveredto the first customer.

In some implementations, the image of the food or beverage item and/orthe location data associated with the food or beverage item may becaptured by the image capture device. In some implementations, the imagecapture device may include a camera, or any other type of dataacquisition device configured to acquire and/or compute datarepresentative of a scene in a merchant location (e.g., a location inthe merchant location, a customer in the merchant location, the good orservice being delivered in the merchant location, etc.), and may acquireand/or compute two-dimensional image data, three-dimensional image data,and/or light-field data. For example, the image capture device mayinclude optics, sensors, and image processing electronics for acquiringdata representative of the scene in the merchant location.

In some implementations, the location data, obtained as indicated byreference number 102, corresponds to one or more object descriptorsbased on the location of the image captured by the image capture device.Such object descriptors may identify various aspects relating to theimage. The object descriptors may be part of an image file of an imagecaptured by the image capture device or the image file may be tagged orotherwise associated with the object descriptors by the image capturedevice. For example, in some implementations, the image capture deviceassigns object descriptors to the image.

In some implementations, the object descriptors include location dataassociated with the location of the image captured by the image capturedevice. Other object descriptors that may be associated with the imagecaptured by the image capture device include, for example, an orderidentifier associated with an order for the food or beverages ordered bya table of customers, a customer identifier associated with a customerordering the food or beverage, timestamp information associated with theimage, and/or the like. In some implementations, the object descriptorsinclude and/or are based on spatial coordinates corresponding to alocation of where the food or beverage was ordered, a location of wherethe food or beverage was delivered, a location of where the food orbeverage was consumed, and/or the like. In some implementations, theobject descriptors are based on a tag or label positioned or disposedproximate to the food or beverage item being delivered to a customer.For example, the tag or label may include a barcode, a QR barcode, aRFID tag, and/or the like, which is detected by the image capture deviceand associated with the image. In some cases, the tag or label may beassociated with a seat, a table, tableware (e.g., a plate, bowl, glass),or a customer associated with the order for the food or beverage.

As a particular example, the image, captured with respect to referencenumber 102, may include an image of a cup of coffee. In this case, theimage may be associated with location data in the form of objectdescriptors based on the location at which the coffee is delivered tothe first customer. The image of the coffee may be associated withadditional object descriptors in some implementations, such as, forexample, an order identifier associated with an order being placed byall three customers at the table in FIG. 1A.

As further shown in FIG. 1A, and by reference number 104, the imagecapture device may capture an image and location data for a secondcustomer. As described above, the location data may be in the form ofone or more object descriptors that are associated with an image orimage file of the captured image or may be assigned to the image file bythe image capture device. In some implementations, the objectdescriptors are used to link the image to a location, an order, and/or acustomer. As an example, the image, captured with respect to referencenumber 104, may include an image of a bowl of soup and the location datamay be in the form of object descriptors describing a spatial locationof the customer ordering the soup, the location of where the soup isordered, the location of where the soup is delivered, the location ofwhere the soup is consumed, and/or the like. The image may further beassociated with an order identifier for the order placed by all threecustomers at the table and/or a customer identifier associated with thesecond customer, in some implementations.

As further shown in FIG. 1A, and by reference number 106, the imagecapture device may capture an image and location data for a thirdcustomer. As an example, the image, captured with respect to referencenumber 106, may include an image of a burger and the location data maybe in the form of object descriptors describing a spatial location ofthe customer ordering the burger, the location of where the burger isordered, the location of where the burger is delivered, the location ofwhere the burger is consumed, and/or the like. The image may further beassociated with the order identifier for the order placed by all threecustomers at the table and/or a customer identifier associated with thethird customer, in some implementations.

As further shown in FIG. 1A, and by reference number 108, the imagecapture device may send the images and location data to the imagingplatform. In some implementations, the image capture device may exportor stream the images to the imaging platform. In some implementations,the imaging platform may request or otherwise obtain the images from theimage capture device. The images may be sent from the image capturedevice to the imaging platform using a wired or wireless connection. Forexample, the image capture device may send the images and location dataover a network (e.g., a cellular network, a public land mobile network(PLMN), a local area network (LAN), a wide area network (WAN), atelephone network, a private network, an ad hoc network, an intranet,the Internet, a fiber optic-based network, a cloud computing network,and/or the like). In some implementations, the images sent to theimaging platform are in the form of image files or frames from a stillimage or a video. The image files may include the object descriptors asdescribed above, which may associate the images with a location, acustomer, an order, and/or the like. In some implementations, images maybe acquired by the imaging platform for each item ordered by a customer.

As further shown in FIG. 1A, and by reference number 110, the imagingplatform may generate product information based on the images and thelocation data received from the image capture device. In someimplementations, the imaging platform receives, as input, the images andlocation data and outputs the product information based on the imagesand location data. The product information may be in the form of productidentifiers based on the images, and the product identifiers may bemapped or otherwise associated with the object descriptors.

In some implementations, the product information is obtained, in part, aresult of passing the images received from the image capture devicethrough an object recognition or image indexing technique on a computingdevice to obtain data (e.g., metadata) associated with the image, andpassing the data obtained from the images through an imaging modelstored at the imaging platform. For example, the imaging platform maytrain an imaging model to match incoming image data obtained from theimages to product identifiers based on a machine learning algorithm, aneural network process, an artificial intelligence process, or the like.The imaging model may receive, as input, image data obtained from imagescaptured by the image capture device and access a data structurecontaining the product identifiers to match the images to productidentifiers. As an example, the product identifiers may identify menuitems being offered for sale by a merchant restaurant and the incomingimages of a customer's food or beverage may be matched to the menu itemsusing the imaging model.

For example, the imaging platform may, using the imaging model, inputdata obtained from analyzing (e.g., indexing) an image of the coffee(captured at reference number 102) and output a product identifier of a“large latte” based on the image. The object descriptors for the imageof the coffee identified by the product identifier “large latte” may bematched, paired, or otherwise included with the product identifier andoutput as the product information. Similarly, the imaging platform may,using the imaging model, input data obtained from analyzing (e.g.,indexing) the image of the soup (captured at reference number 104) andoutput a product identifier of “crab bisque” based on the image. Theobject descriptors for the image of the soup identified by the productidentifier “crab bisque” may be matched, paired, or otherwise includedwith the product identifier and output as product information.Similarly, the imaging platform may, using the imaging model, input dataobtained from analyzing (e.g., indexing) the image of the burger(captured at reference number 106) and output a product identifier of a“bacon cheeseburger” based on the image. The object descriptors for theimage of the burger identified by the product identifier “baconcheeseburger” may be matched, paired, or otherwise included with theproduct identifier and output as product information.

In some implementations, the imaging platform may, using the imagingmodel, generate and output a plurality of product identifiers based onan image. For example, in some instances, the imaging platform may beunable to accurately identify a single, specific product identifierbased on a captured image. In this way, the imaging model may receive,as input, image data obtained from images captured by the image capturedevice and access a data structure containing the product identifiers tomatch the images to a plurality of product identifiers. The productidentifiers generated by the imaging platform, using the image model,may be based on and/or include varying degrees of confidence. Forexample, the imaging platform may, using the imaging model, input dataobtained from analyzing (e.g., indexing) an image of the coffee(captured at reference number 102) and output product identifiersincluding “coffee” (e.g., at a 99% confidence level), “latte” (e.g., ata 50% confidence level), and “large” (e.g., at a 75% confidence level).The plurality of product identifiers output by the imaging platform maythen be received at the transaction terminal and cross-referenced,matched, or otherwise compared with receipt information for use ingenerating multiple sub-receipts as described below. Similarly, theimaging platform may, using the imaging model, input data obtained fromanalyzing (e.g., indexing) an image of the soup (captured at referencenumber 104) and output product identifiers including “bowl” (e.g., at a95% confidence level), “soup” (e.g., at a 90% confidence level), and“bisque” (e.g., at a 30% confidence level). The transaction terminal maylater use the plurality of product identifiers to determine the menuitems being ordered based on comparing the plurality of productidentifiers and receipt information.

In some implementations, the imaging platform may, additionally, oralternatively, utilize the object descriptors when matching dataobtained by analyzing the images to product identifiers. For example, insome instances the imaging platform may be unable to accuratelydistinguish a bacon cheeseburger from a regular cheeseburger. In thiscase, the imaging platform may determine, based on the objectdescriptors, that the bacon cheeseburger was ordered concurrently (e.g.,at a same table, in a same order, proximate a same time) with coffee andsoup, and may incorporate such logic into the model that matches theimages, or the data obtained from the images, to product identifiers.For example, in some implementations the object descriptors link theitems to an order identifier (e.g., for the entire, collective orderplaced by the first, second, and third customers), location, or time,which may additionally be used, by the imaging model implemented andstored by the imaging platform, when assigning the images, or the dataobtained from the images, to product identifiers.

In some implementations, the imaging platform may include one or moreprocessors and one or more digital storage media havingdigitally-encoded instructions embedded therein for programming the oneor more processors to perform any of the methods described herein forreceiving, recognizing, and/or matching images of items included in anorder with product identifiers. In some implementations, the imagingplatform may include a cloud server device that trains and stores theimaging model for classifying the images and/or data obtained from theimages and outputting the product identifiers based on classifying theimages and/or data obtained from the images.

As further shown in FIG. 1A, and by reference number 112, the imagingplatform may send the product information to the transaction terminal.For example, the imaging platform may transmit, stream, export, orotherwise send the product information to the transaction terminal usingwired or wireless network connections. In some implementations, theproduct information obtained by the transaction terminal may include theproduct identifiers based on the images of the items included in theorder and the object descriptors based on the location of the items.

As shown in FIG. 1B, and by reference number 114, the transactionterminal may receive the product information. As an example, thetransaction terminal may receive, as product information, a firstproduct identifier for the “large latte” and the object descriptorsassociated with the large latte, a second product identifier for the“crab bisque” and the object descriptors associated with the crabbisque, and a third product identifier for the “bacon cheeseburger” andthe object descriptors associated with the bacon cheeseburger.

As shown by reference number 116, the transaction terminal mayadditionally receive receipt information associated with the itemsincluded in the order by the three customers. In some implementations,the receipt information may include information regarding all the itemsincluded in the order. For example, the receipt information may includeinformation for all the items (i.e., the coffee, the soup, and theburger) ordered by the first, second, and third customers. In someimplementations, the receipt information may include item identifiersthat identify the items included in the order. The item identifiers maybe associated with price descriptors of the items included in the order.

As an example, the item identifier associated with the large latte maybe “lg. latte” or any other suitable identifier, the item identifier forthe crab bisque may be “crab bisque bowl” or any other suitableidentifier, and the identifier for the bacon cheeseburger may be“cheeseburger, add bacon”, or any other suitable identifier. The itemidentifiers for such items may further be associated with pricedescriptors corresponding to prices of the items identified by the itemidentifiers. In some implementations, the transaction terminal mayreceive the receipt information automatically, for example, when anorder is placed, or upon the occurrence of an event or trigger. Forexample, a merchant employee may indicate that an order is complete,which may trigger a merchant ordering system to send the receiptinformation for the order to the transaction terminal.

As shown in FIG. 1C, and as shown by reference number 118, thetransaction terminal may map the receipt information and the productinformation. For example, the transaction terminal may map the itemidentifiers communicated in the receipt information and the productidentifiers communicated in the product information. In this way, theitems included on the receipt may be matched with product informationbased on images of the items being ordered by the customers. As anexample, the item identifier “lg. latte” and the price descriptorincluded in the receipt information may be mapped to the productidentifier “large latte” and the object descriptors included in theproduct information. Additionally, or alternatively, the item identifier“lg. latte” and the price descriptor included in the receipt informationmay be mapped to product information including the plurality of productidentifiers and the object descriptors as described above. For example,where the product identifiers received by the transaction terminalinclude “coffee”, “large”, and “latte,” the transaction terminal may,using logic applied by the terminal, determine that such identifiers mapto the “lg. latte” on the receipt. The transaction terminal may alsodetermine the ordering of a “small latte” by a customer based on themultiple product identifiers “coffee” and “latte” and related confidencelevels associated with the product identifiers.

Similarly, the item identifier “crab bisque bowl” and the pricedescriptor included in the receipt information may be mapped to theproduct identifier “crab bisque” and the object descriptors included inthe product information. Additionally, the item identifier“cheeseburger, add bacon” and the price descriptor included in thereceipt information may be mapped to the product identifier “baconcheeseburger” and the object descriptors included in the productinformation. In some implementations, the mapping of the receiptinformation and the product information may be used, by the transactionterminal, to associate the item identifiers and/or the productidentifiers with the object descriptors and/or the price descriptors. Inthis way, the transaction terminal may automatically generate multiplesub-receipts based on the object descriptors and/or the pricedescriptors for the items included in an order.

As further shown in FIG. 1C, and by reference number 120, thetransaction terminal may assign the items on the receipt to multiplesub-receipts based on the mapping. For example, the transaction terminalmay classify or group the items included in the order according to theobject descriptors (e.g., the location of where the food was ordered,delivered, consumed, etc.), automatically assign the items to asub-receipt based on the object descriptors, and tabulate the amountowed for the sub-receipt based on the price descriptors, thus,automatically dividing one receipt into multiple sub-receipts. Forexample, the transaction terminal may automatically generate a firstsub-receipt for the first customer ordering the coffee based on mappingthe receipt information with the product information and determiningthat the coffee corresponds to the first customer at the first location.The transaction terminal may automatically generate a second sub-receiptfor the second customer ordering the soup based on mapping the receiptinformation with the product information and determining that the soupcorresponds to the second customer at the second location. Similarly,the transaction terminal may automatically generate a third sub-receiptfor the third customer ordering the burger based on mapping the receiptinformation with the product information and determining that the burgercorresponds to the third customer at the third location. As a result,the first sub-receipt may include the coffee and the amount owed for thecoffee, the second sub-receipt may include the soup and the amount owedfor the soup, and the third sub-receipt may include the burger and theamount owed for the burger. In this way, the transaction terminalobviates the need for a merchant employee to manually split the onereceipt into multiple sub-receipts, thereby reducing errors associatedwith billing and further conserves computing resources would otherwisebe associated with the merchant employee having to manually split theone receipt.

As shown in FIG. 1D, and by reference number 122, the transactionterminal may present the first sub-receipt to the first customer. Inthis case, continuing with the example described above, the firstsub-receipt presented to the first customer may identify the coffee andthe price of the coffee. In some implementations, the first sub-receiptmay be presented on a printed receipt or a visual display. In someimplementations, the transaction terminal may include a user interfaceby which the first sub-receipt is visually displayed to the firstcustomer.

As shown by reference number 124, the transaction terminal may presentthe second sub-receipt to the second customer in a fashion similar tothat described above. In this case, continuing with the exampledescribed above, the second sub-receipt presented to the second customermay identify the soup and the price of the soup. As shown by referencenumber 126, the transaction terminal may present the third sub-receiptto the third customer in a fashion similar to that described above. Inthis case, continuing with the example described above, the thirdsub-receipt presented to the third customer may identify the burger andthe price of the burger. In this way, the user interface may automatepresentation of the sub-receipts to the customers while also enablingmodification of the sub-receipts, and further enabling payments to becompleted without intervention by a merchant employee.

As shown in FIG. 1E, in some implementations, the transaction terminalmay allow the sub-receipts to be modified. For example, modificationsmay include optionally merging or combining multiple sub-receipts,optionally adding or deleting items from the sub-receipts, or optionallysplitting items among the sub-receipts. As shown by reference number128, the first customer may indicate or perform modifications to thefirst sub-receipt. As shown by reference number 130, the second customermay indicate or perform modifications to the second sub-receipt. Asshown by reference number 132, the third customer may indicate orperform modifications to the third sub-receipt.

In some implementations, the first, second, or third customer mayindicate or perform modifications to the respective first, second, orthird sub-receipt by way of the user interface of the transactionterminal. For example, the user interface may include a touch screenwhereby the customers can drag and drop items from the receipt to theirrespective sub-receipt, or vice-versa. In some implementations, the userinterface may include a “shared” field whereby items being dragged fromthe receipt to the shared field may be equally split among each of thesub-receipts for an order. For example, the user interface may employthe use of a shared field by which customers may drag and drop anappetizer that was shared, a bottle of wine that was shared, and/or thelike, to be split equally among the sub-receipts. In this way, thetransaction terminal enables customers to customize the itemization ofsub-receipts without the need for intervention by the merchant employee.Furthermore, the user interface obviates the need for customers havingto download or utilize extraneous payment applications for completingpayment transactions, thereby conserving computing resources and/orreducing network traffic.

As shown in FIG. 1F, and by reference number 134, the first customer mayspecify a first payment method, and/or the transaction terminal maydetermine the first payment method. The first customer may specify apayment method, for example, by interfacing a first transaction cardwith the transaction terminal. Additionally, or alternatively, thetransaction terminal may determine the first payment method uponautomatically detecting the presence of the first transaction card at afirst location that matches one or more of the object descriptorsassociated with the image of the coffee ordered by the first customer.In some implementations, the transaction terminal may automatically readtransaction information (e.g., a transaction card number, expirationdate, etc.) from the first transaction card using near-fieldcommunication (NFC), a Bluetooth Low Energy signal (e.g., iBeacon), animage of the card, from a wallet or virtual card implemented on a userdevice (e.g., a phone, a computer, a wearable computer such as a watchor eyeglasses, etc.) and/or the like.

In some implementations, the transaction terminal may be configured toautomatically divide a total amount owed for the order equally among thefirst, second, and third customer transaction cards. For example, wherea receipt is to be split equally among multiple customers, the customersmay interface their respective payment cards with the transactionterminal, and the transaction terminal may process the cards by dividingthe total amount owed equally among the number of cards being interfacedwith the transaction terminal. In some implementations, the transactionterminal may include a timing mechanism whereby if, after apredetermined amount of time, the transaction terminal does not receiveinformation for a further transaction card, the transaction terminal maydetermine that the payment process is complete, and the transactionterminal may process each card interfaced with the transaction terminalfor an equal amount, or a substantially equal amount (e.g., +/−one-cent,etc.).

In some implementations, the transaction card(s) being used to pay forthe order as described herein may include a credit card, a debit card, agift card, a payment card, an automated teller machine (ATM) card, astored-value card, a fleet card, a transit card, an access card, avirtual card implemented on a user device (e.g., a phone, a computer, awearable computer such as a watch or eyeglasses, and/or the like). Insome implementations, the transaction card may be capable of storingand/or communicating data for a point-of-sale (PoS) transaction with thetransaction terminal. For example, the transaction card may store and/orcommunicate data, including account information (e.g., an accountidentifier, a cardholder identifier, etc.), expiration information ofthe transaction card (e.g., information identifying an expiration monthand/or year of the transaction card), banking information (e.g., arouting number of a bank, a bank identifier, etc.), transactioninformation (e.g., a payment token), and/or the like. For example, tostore and/or communicate the data, the transaction card may include amagnetic strip and/or an integrated circuit (IC) chip (e.g., a EUROPAY®,MASTERCARD®, VISA® (EMV) chip).

In some implementations, the transaction card may include an antenna tocommunicate data associated with the transaction card. The antenna maybe a passive radio frequency (RF) antenna, an active RF antenna, and/ora battery-assisted RF antenna. In some implementations, the transactioncard may be a smart transaction card, capable of communicatingwirelessly (e.g., via Bluetooth, Bluetooth Low Energy (BLE), near-fieldcommunication (NFC), and/or the like) with a computing device, such asthe user device, a digital wallet, and/or another device. In someimplementations, the transaction card may communicate with thetransaction terminal to complete a transaction (e.g., based on beingmoved within communicative proximity of the transaction terminal), asdescribed herein.

As further shown in FIG. 1F, and by reference number 136, the secondpayment method may be specified or determined by the second customer ina fashion similar to that described above with respect to the firstpayment method specified by the first customer. For example, in someimplementations, the second customer may specify the payment method viainterfacing a second transaction card with the transaction terminal. Thetransaction terminal may process the second transaction card for anamount on the second sub-receipt or determine to divide the total amountowed for the order equally among all customers. The transaction terminalmay, in some instances, detect the presence of the second transactioncard at the second location, which corresponds to the object descriptorsof the soup, and automatically process the transaction card for theamount owed for the image of the soup.

As further shown in FIG. 1F, and by reference number 138, the thirdpayment method may be specified or determined by the third customer in afashion similar to that described above with respect to the firstpayment method specified by the first customer and/or the second paymentmethod specified by the second customer. In some implementations, thethird customer may specify the payment method for the third sub-receiptby interfacing a third transaction card with the transaction terminal.In some implementations, the transaction terminal may automaticallysplit the total amount owed for the order equally among the customers.In some implementations, the transaction terminal may detect thepresence of the third card at the third location matching the objectdescriptors for the image of the burger.

As further shown in FIG. 1F, and by reference number 140, thetransaction terminal may transmit the payment information to one or moretransaction backend devices according to the specified or determinedpayment methods. For example, the transaction terminal may transmitpayment information for the first, second, and third transaction cardsused to settle each of the respective first, second, and thirdsub-receipts. In some implementations, the transaction terminal mayautomatically split the total amount owed for the order equally amongthe first, the second, and the third transaction cards.

As further shown in FIG. 1F, and by reference number 142, thetransaction backend device may process the payments. For example, thetransaction backend device may be associated with a financialinstitution with which the merchant has an account and may communicatewith devices associated with a financial institution with which each ofthe customers have an account to determine whether the payment isapproved. In this case, the transaction backend device may authorize apayment by a customer if the transaction backend device determines thepayment by the customer should be approved and may decline thetransaction if the transaction backend device determines the paymentshould not be approved. In some implementations, the transaction backenddevice may receive information associated with the first, second, andthird transaction cards used to settle the total amount owed for thereceipt and/or amounts owed for the respective sub-receipts.

As further shown in FIG. 1F, and by reference number 144, thetransaction terminal may complete the transaction(s) and/or resolvedeclined payment(s). To complete the transaction, the transactionterminal may issue a printed receipt, display a receipt, or transmit anelectronic receipt to memorialize each of the authorized and completedpayment transactions. Where a payment by one or more of the transactioncards is declined, the transaction terminal may prompt one or more ofthe customers to receive a replacement transaction card to settle thedebt for the declined amount. The one or more customers may be promptedby the user interface of the transaction terminal.

In some implementations, the transaction terminal may automaticallyprocess the remaining cards (i.e., that were authorized for payment) tosettle the debt for the declined amount. For example, the transactioncards that were authorized for payment may be equally charged for anamount equal to the declined amount. In some implementations, thetransaction terminal may access rules for determining how to resolvedeclined payments. For example, the rules may instruct the transactionterminal to prompt the one or more customers for the additional payment.As another example, the rules may instruct the transaction terminal toautomatically charge one or more of the authorized transaction cards forthe declined amount. In this way, the transaction terminal can furtherautomate the procedures and/or processes for responding to one or moredeclined payments for an order that includes multiple payments. In someimplementations, the transaction terminal includes a storage or memorydevice by which the transaction terminal may temporarily store paymentinformation (e.g., via caching, hashing, etc.) for an order until theorder has been paid in full. In some implementations, the stored paymentinformation is used to pay for any amount owed due to a declinedpayment.

In this way, the transaction terminals described herein automate variousaspects related to billing and improve the efficiency at which thepayment transactions are processed and/or completed by virtue ofautomating receipt splitting, payment presentation, and/or paymentprocessing. The transaction terminals described herein may obviate theneed to manually split one receipt into multiple sub-receipts, therebyreducing errors associated with processing and/or completing paymenttransactions. Furthermore, providing the transaction terminal with auser interface facilitates automated sub-receipt presentation whileenabling modification of the sub-receipts and/or payments to becompleted without intervention by a merchant employee (e.g., a server,bartender, cashier, etc.).

As indicated above, FIGS. 1A-1F are provided merely as an example. Otherexamples are possible and may differ from what was described with regardto FIGS. 1A-1F. Although the example implementation relates to arestaurant setting and automating billing for menu items, otherimplementations may include non-restaurant settings and non-menu items.Other example implementations may include, for example, automatedbilling for a retail store selling goods, a business selling services(e.g., spa services, and/or the like), a business dealing in residentialor commercial rentals, a hotel, an airline, and/or the like.

FIG. 2 is a diagram of an example environment 200 in which systemsand/or methods, described herein, may be implemented. As shown in FIG.2, environment 200 may include an image capture device 210, atransaction terminal 220, a cloud computing environment 230, an imagingplatform 240, a computing resource 250, a transaction backend device260, and a network 270. Devices of environment 200 may interconnect viawired connections, wireless connections, or a combination of wired andwireless connections.

Image capture device 210 includes one or more devices capable ofcapturing an image associated with a merchant location, such as an imageassociated with one or more goods or services provided by the merchantto a customer at the merchant location. As an example, image capturedevice 210 may capture images of food offered at the merchant location.The images captured by image capture device 210 may include digitalfiles identified by one or more object descriptors pertaining to alocation of where the image was captured or a day/time that the imagewas captured. Image capture device 210 may include a digital stillcamera (DSC), a video camera, a computer equipped with an internal orexternal camera, a device (e.g., a cell phone, a clock, a television,etc.) equipped with an image capturing mechanism, a combination thereof,and/or the like. Image capture device 210 may include optics, imagesensors (e.g., CCD, CMOS, etc.), network connection components, and/orimage labeling components (e.g., for assigning object descriptors toimages).

Transaction terminal 220 includes one or more devices capable ofreceiving, collecting, obtaining, gathering, storing, correlating,mapping, processing, and/or facilitating the splitting of one receiptinto multiple sub-receipts and processing one or more transaction cardsfor payment of the multiple sub-receipts. In some implementations,transaction terminal 220 includes a transaction terminal device thatfacilitates the automatic division of one receipt for an order intomultiple sub-receipts, facilitates the presentation of the multiplesub-receipts to multiple customers, facilitates the acceptance ofmodifications (e.g., adding items to one or more of the multiplesub-receipts, merging one or more of the multiple sub-receipts,splitting item(s) among the multiple sub-receipts, etc.) to one or moreof the multiple sub-receipts, and facilitates the processing of atransaction using one or more transaction cards. Transaction terminal220 may include a PoS terminal, a payment terminal (e.g., a credit cardterminal, a contactless payment terminal, a mobile credit card reader, achip reader, etc.), a security access terminal, an automated tellermachine (ATM) terminal, and/or the like. In some implementations,transaction terminal 220 may communicate with transaction backend device260 to provide, to transaction backend device 260, information relatedto a transaction for which the transaction card is being used, asdescribed elsewhere herein. In some implementations, transactionterminal 220 may communicate with imaging platform 240 for receivingproduct data and correlating the product data to receipt information.

In some implementations, transaction terminal 220 may include one ormore input components and/or output components to facilitate thesplitting of the one receipt into the multiple sub-receipts, presentingthe multiple sub-receipts, modifying the multiple sub-receipts, and/orobtaining information from one or more transaction cards (e.g., anaccount number of an account associated with the transaction card, anexpiration date of the transaction card, etc.), input (e.g., a PIN, asignature, biometric information, etc.), from one or more cardholders ofthe transaction card, related to completing and/or authorizing atransaction, and/or the like. In some implementations, example inputcomponents of transaction terminal 220 may include a number keypad, atouch screen, a user interface, a magnetic strip reader, a chip reader,a pen and corresponding signature pad, a radio frequency (RF) signalreader, and/or the like.

In some implementations, a magnetic strip reader of transaction terminal220 may receive data from the transaction card as a magnetic strip ofthe transaction card is swiped along the magnetic strip reader. In someimplementations, a chip reader of transaction terminal 220 may receivedata from the transaction card via an integrated circuit chip (e.g., anEMV chip) of the transaction card when the chip is placed withincommunicative proximity of the chip reader. In some implementations, anRF signal reader of transaction terminal 220 may enable a contactlesstransaction from the transaction card and/or customer device containinga virtual card stored therein by obtaining data wirelessly from thetransaction card and/or the customer device as the transaction cardand/or the customer device comes within communicative proximity oftransaction terminal 220, such that the RF signal reader detects an RFsignal from an RF antenna of the transaction card and/or the customerdevice.

In some implementations, example output components of transactionterminal 220 may include a display, a speaker, a printer, a light,and/or the like. In some implementations, transaction terminal 220 mayuse an output component to output information related to a transaction(e.g., an indication to cause a customer to input information toauthorize a transaction, information that identifies whether atransaction was completed, etc.). In some implementations, transactionterminal 220 may include a user interface that allows customer(s) tomodify sub-receipts and/or modify payments. In some implementations,transaction terminal 220 may include a memory to store paymentinformation in the event of a declined payment.

In some implementations, transaction terminal 220 may automaticallydetect and/or process transaction cards by reading numbers oftransaction cards presented at locations that corresponding to objectdescriptors (e.g., location descriptors) based on images of the itemsordered at the locations as described herein. In some implementations,transaction terminal 220 may automatically split and/or processtransactions associated with transaction cards by automaticallydetecting the number of transaction cards interfaced with transactionterminal 220 during a specified time period and splitting the paymentsequally among the transaction cards.

Cloud computing environment 230 includes an environment that deliverscomputing as a service, whereby shared resources, services, etc. may beprovided to transaction terminal 220. Cloud computing environment 230may provide computation, software, data access, storage, and/or otherservices that do not require end-user knowledge of a physical locationand configuration of a system and/or a device that delivers theservices. As shown, cloud computing environment 230 may include imagingplatform 240 and computing resource 250. In some implementations, cloudcomputing environment 230 includes an environment that hosts imagingplatform 240.

Imaging platform 240 may include may include one or more devices capableof receiving, determining, processing, storing, and/or providinginformation associated with images from image capture device 210. Forexample, in some implementations, imaging platform 240 receives imagesfrom image capture device 210, receives object descriptors associatedwith the images received from image capture device 210, correlates thereceived images and object descriptors to data for goods or servicesoffered by the merchant location (e.g., correlate the images to specificmenu items, to specific goods, etc.), and generates product informationbased on correlating the received images and object descriptors to datafor the goods or services offered by the merchant location. As anexample, in some implementations, imaging platform 240 may be configuredto receive or acquire images in a raw or processed format from imagecapture device 210 and associate the images to product identifiers thatare associated with menu items as described herein.

In some implementations, imaging platform 240 may include a server or agroup of servers. In some implementations, imaging platform 240 maygenerate, train, update, store, and/or provide a model for identifyinggoods or services offered by merchants based on images of the goods orservices. In some implementations, imaging platform 240 accesses a datastructure including specified menu, catalog, or product items offered bymerchants and assigns the images to product information associated withthe specified menu, catalog, or product items for use by transactionterminal 220 in mapping receipt information to the product information.

In some implementations, as shown, imaging platform 240 may be hosted incloud computing environment 230. Notably, while implementationsdescribed herein describe imaging platform 240 as being hosted in cloudcomputing environment 230, in some implementations, imaging platform 240may not be cloud-based or may be partially cloud-based.

Computing resource 250 includes one or more personal computers,workstation computers, server devices, or another type of computationand/or communication device. In some implementations, computing resource250 may host imaging platform 240. The cloud resources may includecompute instances executing in computing resource 250, storage devicesprovided in computing resource 250, data transfer devices provided bycomputing resource 250, etc. In some implementations, computing resource250 may communicate with other computing resources 250 via wiredconnections, wireless connections, or a combination of wired andwireless connections.

As further shown in FIG. 2, computing resource 250 may include a groupof cloud resources, such as one or more applications (“APPs”) 250-1, oneor more virtual machines (“VMs”) 250-2, virtualized storage (“VSs”)250-3, one or more hypervisors (“HYPs”) 250-4, or the like.

Application 250-1 includes one or more software applications that may beprovided to or accessed by image capture device 210. Application 250-1may eliminate a need to install and execute the software applications onimage capture device 210. For example, application 250-1 may includesoftware associated with imaging platform 240 and/or any other softwarecapable of being provided via cloud computing environment 230. In someimplementations, one application 250-1 may send/receive informationto/from one or more other applications 250-1, via virtual machine 250-2.

Virtual machine 250-2 includes a software implementation of a machine(e.g., a computer) that executes programs like a physical machine.Virtual machine 250-2 may be either a system virtual machine or aprocess virtual machine, depending upon use and degree of correspondenceto any real machine by virtual machine 250-2. A system virtual machinemay provide a complete system platform that supports execution of acomplete operating system (“OS”). A process virtual machine may executea single program and may support a single process. In someimplementations, virtual machine 250-2 may execute on behalf of a user(e.g., image capture device 210), and may manage infrastructure of cloudcomputing environment 230, such as data management, synchronization, orlong-duration data transfers.

Virtualized storage 250-3 includes one or more storage systems and/orone or more devices that use virtualization techniques within thestorage systems or devices of computing resource 250. In someimplementations, within the context of a storage system, types ofvirtualizations may include block virtualization and filevirtualization. Block virtualization may refer to abstraction (orseparation) of logical storage from physical storage so that the storagesystem may be accessed without regard to physical storage orheterogeneous structure. The separation may permit administrators of thestorage system flexibility in how the administrators manage storage forend users. File virtualization may eliminate dependencies between dataaccessed at a file level and a location where files are physicallystored. This may enable optimization of storage use, serverconsolidation, and/or performance of non-disruptive file migrations.

Hypervisor 250-4 provides hardware virtualization techniques that allowmultiple operating systems (e.g., “guest operating systems”) to executeconcurrently on a host computer, such as computing resource 250.Hypervisor 250-4 may present a virtual operating platform to the guestoperating systems, and may manage the execution of the guest operatingsystems. Multiple instances of a variety of operating systems may sharevirtualized hardware resources.

Transaction backend device 260 includes one or more devices capable ofauthorizing and/or facilitating a transaction. For example, transactionbackend device 260 may include one or more servers and/or computers tostore and/or provide information associated with processing atransaction via transaction terminal 220. In some implementations,transaction backend device 260 processes information communicated bytransaction terminal 220 to authorize, decline, and/or complete atransaction, as described herein.

Transaction backend device 260 includes one or more devices associatedwith a financial institution (e.g., a bank, a lender, a credit union, acredit card institution, etc.) that authorizes a transaction based oninformation communicated by transaction terminal 220. For example,transaction backend device 260 may include one or more devices of one ormore issuing banks associated with a cardholder of the transaction card,one or more devices of one or more acquiring banks (or merchant banks)associated with transaction terminal 220, and/or one or more devicesassociated with one or more transaction card associations (e.g., VISA®,MASTERCARD®, and/or the like) associated with the transaction cardinterfaced with transaction terminal 220. Accordingly, based onreceiving information associated with the transaction card fromtransaction terminal 220, devices of transaction backend device 260(e.g., associated with a financial institution or transaction cardassociation) may communicate to authorize a transaction associated withthe transaction card and/or transaction terminal 220. In someimplementations, the financial institution or transaction card maycommunicate with transaction terminal 220 to decline a request.Transaction terminal 220 may respond to the declined request accordingto executing predetermined instructions and/or customer instructions.

In some implementations, transaction backend device 260 may provide ordeny authorization associated with a transaction. For example,transaction backend device 260 may store and/or provide information thatmay allow, or deny, access through an access point (e.g., a gate, adoor, and/or the like) of a secure location (e.g., a room, a building, ageographical area, a transportation terminal, and/or the like) based oninformation (e.g., account information, a key, an identifier,credentials, and/or the like) associated with the transaction cardand/or provided by transaction terminal 220.

In some implementations, transaction backend device 260 may include oneor more devices associated with a rewards program associated with thetransaction card and/or an entity (e.g., a financial institution, amerchant, a service provider, a vendor, and/or the like) associated withthe transaction card and/or transaction terminal 220. For example,transaction backend device 260 may authorize the earning and/orredemption of rewards (e.g., rewards points associated with thetransaction card, cash rewards, client loyalty rewards associated withan entity associated with transaction terminal 220, and/or the like)based on a transaction processed by transaction terminal 220.

In some implementations, transaction backend device 260 may be hosted incloud computing environment 230. In some implementations, transactionbackend device 260 may not be cloud-based (i.e., may be implementedoutside of a cloud computing environment) or may be partiallycloud-based.

Network 270 includes one or more wired and/or wireless networks. Forexample, network 270 may include a cellular network (e.g., a long-termevolution (LTE) network, a code division multiple access (CDMA) network,a 3G network, a 4G network, a 5G network, another type of nextgeneration network, etc.), a public land mobile network (PLMN), a localarea network (LAN), a wide area network (WAN), a metropolitan areanetwork (MAN), a telephone network (e.g., the Public Switched TelephoneNetwork (PSTN)), a private network, an ad hoc network, an intranet, theInternet, a fiber optic-based network, a cloud computing network, or thelike, and/or a combination of these or other types of networks.

The number and arrangement of devices and networks shown in FIG. 2 areprovided as an example. In practice, there may be additional devicesand/or networks, fewer devices and/or networks, different devices and/ornetworks, or differently arranged devices and/or networks than thoseshown in FIG. 2. Furthermore, two or more devices shown in FIG. 2 may beimplemented within a single device, or a single device shown in FIG. 2may be implemented as multiple, distributed devices. Additionally, oralternatively, a set of devices (e.g., one or more devices) ofenvironment 200 may perform one or more functions described as beingperformed by another set of devices of environment 200.

FIG. 3 is a diagram of example components of a device 300. Device 300may correspond to image capture device 210, transaction terminal 220,imaging platform 240, computing resource 250, and/or transaction backenddevice 260. In some implementations, image capture device 210,transaction terminal 220, imaging platform 240, computing resource 250,and/or transaction backend device 260 may include one or more devices300 and/or one or more components of device 300. As shown in FIG. 3,device 300 may include a bus 310, a processor 320, a memory 330, astorage component 340, an input component 350, an output component 360,and a communication interface 370.

Bus 310 includes a component that permits communication among thecomponents of device 300. Processor 320 is implemented in hardware,firmware, or a combination of hardware and software. Processor 320 is acentral processing unit (CPU), a graphics processing unit (GPU), anaccelerated processing unit (APU), a microprocessor, a microcontroller,a digital signal processor (DSP), a field-programmable gate array(FPGA), an application-specific integrated circuit (ASIC), or anothertype of processing component. In some implementations, processor 320includes one or more processors capable of being programmed to perform afunction. Memory 330 includes a random access memory (RAM), a read onlymemory (ROM), and/or another type of dynamic or static storage device(e.g., a flash memory, a magnetic memory, and/or an optical memory) thatstores information and/or instructions for use by processor 320.

Storage component 340 stores information and/or software related to theoperation and use of device 300. For example, storage component 340 mayinclude a hard disk (e.g., a magnetic disk, an optical disk, amagneto-optic disk, and/or a solid state disk), a compact disc (CD), adigital versatile disc (DVD), a floppy disk, a cartridge, a magnetictape, and/or another type of non-transitory computer-readable medium,along with a corresponding drive.

Input component 350 includes a component that permits device 300 toreceive information, such as via user input (e.g., a touch screendisplay, a keyboard, a keypad, a mouse, a button, a switch, and/or amicrophone). Additionally, or alternatively, input component 350 mayinclude a sensor for sensing information (e.g., a global positioningsystem (GPS) component, an accelerometer, a gyroscope, and/or anactuator). Output component 360 includes a component that providesoutput information from device 300 (e.g., a display, a speaker, aprinter, and/or one or more light-emitting diodes (LEDs)).

Communication interface 370 includes a transceiver-like component (e.g.,a transceiver and/or a separate receiver and transmitter) that enablesdevice 300 to communicate with other devices, such as via a wiredconnection, a wireless connection, or a combination of wired andwireless connections. Communication interface 370 may permit device 300to receive information from another device and/or provide information toanother device. For example, communication interface 370 may include anEthernet interface, an optical interface, a coaxial interface, aninfrared interface, a radio frequency (RF) interface, a universal serialbus (USB) interface, a Wi-Fi interface, a cellular network interface, orthe like.

Device 300 may perform one or more processes described herein. Device300 may perform these processes based on processor 320 executingsoftware instructions stored by a non-transitory computer-readablemedium, such as memory 330 and/or storage component 340. Acomputer-readable medium is defined herein as a non-transitory memorydevice. A memory device includes memory space within a single physicalstorage device or memory space spread across multiple physical storagedevices.

Software instructions may be read into memory 330 and/or storagecomponent 340 from another computer-readable medium or from anotherdevice via communication interface 370. When executed, softwareinstructions stored in memory 330 and/or storage component 340 may causeprocessor 320 to perform one or more processes described herein.Additionally, or alternatively, hardwired circuitry may be used in placeof or in combination with software instructions to perform one or moreprocesses described herein. Thus, implementations described herein arenot limited to any specific combination of hardware circuitry andsoftware.

The number and arrangement of components shown in FIG. 3 are provided asan example. In practice, device 300 may include additional components,fewer components, different components, or differently arrangedcomponents than those shown in FIG. 3. Additionally, or alternatively, aset of components (e.g., one or more components) of device 300 mayperform one or more functions described as being performed by anotherset of components of device 300.

FIG. 4 is a flow chart of an example process for automated billing. Insome implementations, one or more process blocks of FIG. 4 may beperformed by a transaction terminal (e.g., transaction terminal 220). Insome implementations, one or more process blocks of FIG. 4 may beperformed by another device or a group of devices separate from orincluding the transaction terminal, such as an image capture device(e.g., image capture device 210), an imaging platform (e.g., imagingplatform 240), or a transaction backend device (e.g., transactionbackend device 260).

As shown in FIG. 4, process 400 may include receiving receiptinformation associated with items included in an order, wherein thereceipt information includes item identifiers associated with the itemsincluded in the order, and wherein the item identifiers, associated withthe items included in the order, include price descriptors (block 410).For example, the transaction terminal (e.g., transaction terminal 220,using processor 320, memory 330, storage component 340, input component350, communication interface 370, and/or the like) may receive receiptinformation associated with items included in an order, as describedabove in connection with FIGS. 1A-1F. In some implementations, thereceipt information may include item identifiers associated with theitems included in the order. In some implementations, the itemidentifiers, associated with the items included in the order, mayinclude price descriptors.

As further shown in FIG. 4, process 400 may include receiving productinformation associated with the items included in the order, wherein theproduct information includes product identifiers based on images of theitems included in the order, and wherein the product identifiers includeobject descriptors (block 420). For example, the transaction terminal(e.g., transaction terminal 220, using processor 320, memory 330,storage component 340, input component 350, communication interface 370,and/or the like) may receive product information associated with itemsincluded in an order, as described above in connection with FIGS. 1A-1F.In some implementations, the product information may include productidentifiers based on images of the items included in the order. In someimplementations, the product identifiers may include object descriptors.

As further shown in FIG. 4, process 400 may include mapping a first itemidentifier associated with a first item included in the order and afirst product identifier for determining that the first item included inthe order corresponds to a first price descriptor and a first objectdescriptor (block 430). For example, the transaction terminal (e.g.,transaction terminal 220, using processor 320, memory 330, storagecomponent 340, communication interface 370, and/or the like) may map afirst item identifier associated with a first item included in the orderand a first product identifier for determining that the first itemincluded in the order corresponds to a first price descriptor and afirst object descriptor, as described above in connection with FIGS.1A-1F.

As further shown in FIG. 4, process 400 may include mapping a seconditem identifier associated with a second item included in the order anda second product identifier for determining that the second itemincluded in the order corresponds to a second price descriptor and asecond object descriptor (block 440). For example, the transactionterminal (e.g., transaction terminal 220, using processor 320, memory330, storage component 340, communication interface 370, and/or thelike) may map a second item identifier associated with a second itemincluded in the order and a second product identifier for determiningthat the second item included in the order corresponds to a second pricedescriptor and a second object descriptor, as described above inconnection with FIGS. 1A-1F.

As further shown in FIG. 4, process 400 may include assigning the firstitem included in the order to a first sub-receipt of a total receiptbased on determining that the first item included in the ordercorresponds to the first price descriptor and the first objectdescriptor (block 450). For example, the transaction terminal (e.g.,transaction terminal 220, using processor 320, memory 330, storagecomponent 340, communication interface 370, and/or the like) may assignthe first item included in the order to a first sub-receipt of a totalreceipt based on determining that the first item included in the ordercorresponds to the first price descriptor and the first objectdescriptor, as described above in connection with FIGS. 1A-1F.

As further shown in FIG. 4, process 400 may include assigning the seconditem included in the order to a second sub-receipt of the total receiptbased on determining that the second item included in the ordercorresponds to the second price descriptor and the second objectdescriptor (block 460). For example, the transaction terminal (e.g.,transaction terminal 220, using processor 320, memory 330, storagecomponent 340, communication interface 370, and/or the like) may assignthe second item included in the order to a second sub-receipt of thetotal receipt based on determining that the second item included in theorder corresponds to the second price descriptor and the second objectdescriptor, as described above in connection with FIGS. 1A-1F.

As further shown in FIG. 4, process 400 may include presenting the firstsub-receipt for payment by a first customer (block 470). For example,the transaction terminal (e.g., transaction terminal 220, usingprocessor 320, memory 330, storage component 340, output component 360,communication interface 370, and/or the like) may present the firstsub-receipt for payment by a first customer, as described above inconnection with FIGS. 1A-1F.

As further shown in FIG. 4, process 400 may include presenting thesecond sub-receipt for payment by a second customer (block 480). Forexample, the transaction terminal (e.g., transaction terminal 220, usingprocessor 320, memory 330, storage component 340, output component 360,communication interface 370, and/or the like) may present the secondsub-receipt for payment by a second customer, as described above inconnection with FIGS. 1A-1F.

Process 400 may include additional implementations, such as any singleimplementation or any combination of implementations described belowand/or in connection with the one or more processes described elsewhereherein.

In some implementations, the object descriptors may include spatialdescriptors that are based on one of first locations corresponding towhere the items included in the order were ordered, second locationscorresponding to where the items included in the order were delivered,or third locations corresponding to where the items included in theorder were consumed. In some implementations, the object descriptors maybe based on a location of a seat, a customer, a table, or tableware.

In some implementations, process 400 may further include receiving afirst request to pay the first sub-receipt, processing a firsttransaction card to pay the first sub-receipt after receiving the firstrequest, receiving a second request to pay the second sub-receipt, andprocessing a second transaction card to pay the second sub-receipt afterreceiving the second request.

In some implementations, process 400 may further include receiving arequest to combine the first sub-receipt with the second sub-receipt toform the total receipt, receiving a request to pay the total receipt,and processing a plurality of transaction cards to pay the total receiptafter receiving the request to pay the total receipt. In someimplementations, process 400 may further include receiving a request tocombine the first sub-receipt with the second sub-receipt to form acombined receipt, receiving a request to pay the combined receipt, andprocessing a transaction card to pay the combined receipt afterreceiving the request to pay the combined receipt.

In some implementations, process 400 may further include detecting apresence of a first transaction card at a first location matching thefirst object descriptor based on determining that the first itemincluded in the order corresponds to the first price descriptor and thefirst object descriptor, and automatically processing the firsttransaction card to pay the first sub-receipt.

In some implementations, process 400 may further include receiving afirst request to pay the first sub-receipt, storing informationassociated with a first transaction card presented for payment of thefirst sub-receipt after receiving the first request, receiving a secondrequest to pay the second sub-receipt, storing information associatedwith a second transaction card presented for payment of the secondsub-receipt after receiving the second request, processing the firsttransaction card to pay the first sub-receipt, processing the secondtransaction card to pay the second sub-receipt, determining that thefirst transaction card was declined when processing the firsttransaction card to pay the first sub-receipt, and processing the secondtransaction card to pay the first sub-receipt or a portion of the firstsub-receipt based on determining that the first transaction card wasdeclined.

Although FIG. 4 shows example blocks of process 400, in someimplementations, process 400 may include additional blocks, fewerblocks, different blocks, or differently arranged blocks than thosedepicted in FIG. 4. Additionally, or alternatively, two or more of theblocks of process 400 may be performed in parallel.

FIG. 5 is a flow chart of an example process for automated billing. Insome implementations, one or more process blocks of FIG. 5 may beperformed by a transaction terminal (e.g., transaction terminal 220). Insome implementations, one or more process blocks of FIG. 5 may beperformed by another device or a group of devices separate from orincluding the transaction terminal, such as an image capture device(e.g., image capture device 210), an imaging platform (e.g., imagingplatform 240), or a transaction backend device (e.g., transactionbackend device 260).

As shown in FIG. 5, process 500 may include receiving receiptinformation associated with items included in an order, wherein thereceipt information includes item identifiers associated with the itemsincluded in the order, and wherein the item identifiers, associated withthe items included in the order, include price descriptors (block 505).For example, the transaction terminal (e.g., transaction terminal 220,using processor 320, memory 330, storage component 340, input component350, communication interface 370, and/or the like) may receive receiptinformation associated with items included in an order, as describedabove in connection with FIGS. 1A-1F. In some implementations, thereceipt information may include item identifiers associated with theitems included in the order. In some implementations, the itemidentifiers, associated with the items included in the order, mayinclude price descriptors.

As further shown in FIG. 5, process 500 may include receiving productinformation associated with the items included in the order, wherein theproduct information includes product identifiers based on images of theitems included in the order, and wherein the product identifiers includeobject descriptors (block 510). For example, the transaction terminal(e.g., transaction terminal 220, using processor 320, memory 330,storage component 340, input component 350, communication interface 370,and/or the like) may receive product information associated with theitems included in the order, as described above in connection with FIGS.1A-1F. In some implementations, the product information may includeproduct identifiers based on images of the items included in the order.In some implementations, the product identifiers may include objectdescriptors.

As further shown in FIG. 5, process 500 may include mapping a first itemidentifier associated with a first item included in the order and afirst product identifier for determining that the first item included inthe order corresponds to a first price descriptor and a first objectdescriptor (block 515). For example, the transaction terminal (e.g.,transaction terminal 220, using processor 320, memory 330, storagecomponent 340, communication interface 370, and/or the like) may map afirst item identifier associated with a first item included in the orderand a first product identifier for determining that the first itemincluded in the order corresponds to a first price descriptor and afirst object descriptor, as described above in connection with FIGS.1A-1F.

As further shown in FIG. 5, process 500 may include mapping a seconditem identifier associated with a second item included in the order anda second product identifier for determining that the second itemincluded in the order corresponds to a second price descriptor and asecond object descriptor (block 520). For example, the transactionterminal (e.g., transaction terminal 220, using processor 320, memory330, storage component 340, communication interface 370, and/or thelike) may map a second item identifier associated with a second itemincluded in the order and a second product identifier for determiningthat the second item included in the order corresponds to a second pricedescriptor and a second object descriptor, as described above inconnection with FIGS. 1A-1F.

As further shown in FIG. 5, process 500 may include assigning the firstitem included in the order to a first sub-receipt of a total receiptbased on determining that the first item included in the ordercorresponds to the first price descriptor and the first objectdescriptor (block 525). For example, the transaction terminal (e.g.,transaction terminal 220, using processor 320, memory 330, storagecomponent 340, communication interface 370, and/or the like) may assignthe first item included in the order to a first sub-receipt of a totalreceipt based on determining that the first item included in the ordercorresponds to the first price descriptor and the first objectdescriptor, as described above in connection with FIGS. 1A-1F.

As further shown in FIG. 5, process 500 may include assigning the seconditem included in the order to a second sub-receipt of the total receiptbased on determining that the second item included in the ordercorresponds to the second price descriptor and the second objectdescriptor (block 530). For example, the transaction terminal (e.g.,transaction terminal 220, using processor 320, memory 330, storagecomponent 340, communication interface 370, and/or the like) may assignthe second item included in the order to a second sub-receipt of thetotal receipt based on determining that the second item included in theorder corresponds to the second price descriptor and the second objectdescriptor, as described above in connection with FIGS. 1A-1F.

As further shown in FIG. 5, process 500 may include presenting the firstsub-receipt for payment by a first customer (block 535). For example,the transaction terminal (e.g., transaction terminal 220, usingprocessor 320, memory 330, storage component 340, output component 360,communication interface 370, and/or the like) may present the firstsub-receipt for payment by a first customer, as described above inconnection with FIGS. 1A-1F.

As further shown in FIG. 5, process 500 may include presenting thesecond sub-receipt for payment by a second customer (block 540). Forexample, the transaction terminal (e.g., transaction terminal 220, usingprocessor 320, memory 330, storage component 340, output component 360,communication interface 370, and/or the like) may present the secondsub-receipt for payment by a second customer, as described above inconnection with FIGS. 1A-1F.

As further shown in FIG. 5, process 500 may include processing a firsttransaction card to pay the first sub-receipt after presenting the firstsub-receipt for payment (block 545). For example, the transactionterminal (e.g., transaction terminal 220, using processor 320, memory330, storage component 340, input component 350, communication interface370, and/or the like) may process a first transaction card to pay thefirst sub-receipt after presenting the first sub-receipt for payment, asdescribed above in connection with FIGS. 1A-1F.

As further shown in FIG. 5, process 500 may include processing a secondtransaction card to pay the second sub-receipt after presenting thesecond sub-receipt for payment (block 550). For example, the transactionterminal (e.g., transaction terminal 220, using processor 320, memory330, storage component 340, input component 350, communication interface370, and/or the like) may process a second transaction card to pay thesecond sub-receipt after presenting the second sub-receipt for payment,as described above in connection with FIGS. 1A-1F.

Process 500 may include additional implementations, such as any singleimplementation or any combination of implementations described belowand/or in connection with the one or more processes described elsewhereherein.

In some implementations, the object descriptors may include spatialdescriptors that are based on one of first locations corresponding towhere the items included in the order were ordered, second locationscorresponding to where the items included in the order were delivered,or third locations corresponding to where the items included in theorder were consumed. In some implementations, the object descriptors maybe based on a location of a seat, a customer, a table, or tableware.

In some implementations, process 500 may further include receiving arequest to modify the first sub-receipt. In some implementations, therequest to modify the first sub-receipt may include adding a third itemincluded in the order to the first sub-receipt.

In some implementations, process 500 may further include receiving arequest to modify the first sub-receipt and the second sub-receipt priorto processing the first transaction card to pay the first sub-receiptand prior to processing the second transaction card to pay the secondsub-receipt. In some implementations, the request to modify the firstsub-receipt and the second sub-receipt may identify an item to be splitbetween the first sub-receipt and the second sub-receipt. In someimplementations, process 500 may further include assigning the item tobe split between the first sub-receipt and the second sub-receipt to thefirst sub-receipt, to form a modified first sub-receipt, and to thesecond sub-receipt, to form a modified second sub-receipt, based on therequest to modify the first sub-receipt and the second sub-receipt.Additionally, process 500 may include presenting the modified firstsub-receipt for payment by the first customer, presenting the modifiedsecond sub-receipt for payment by the second customer, processing thefirst transaction card to pay the modified first sub-receipt afterpresenting the modified first sub-receipt for payment, and processingthe second transaction card to pay the modified second sub-receipt afterpresenting the modified second sub-receipt for payment.

In some implementations, process 500 may further include detecting apresence of the first transaction card at a first location matching thefirst object descriptor based on determining that the first itemincluded in the order corresponds to the first price descriptor and thefirst object descriptor, and automatically processing the firsttransaction card to pay the first sub-receipt.

Although FIG. 5 shows example blocks of process 500, in someimplementations, process 500 may include additional blocks, fewerblocks, different blocks, or differently arranged blocks than thosedepicted in FIG. 5. Additionally, or alternatively, two or more of theblocks of process 500 may be performed in parallel.

FIG. 6 is a flow chart of an example process for automated billing. Insome implementations, one or more process blocks of FIG. 6 may beperformed by a transaction terminal (e.g., transaction terminal 220). Insome implementations, one or more process blocks of FIG. 6 may beperformed by another device or a group of devices separate from orincluding the transaction terminal, such as an image capture device(e.g., image capture device 210), an imaging platform (e.g., imagingplatform 240), or a transaction backend device (e.g., transactionbackend device 260).

As shown in FIG. 6, process 600 may include receiving receiptinformation associated with items included in an order, wherein thereceipt information includes item identifiers associated with the itemsincluded in the order, and wherein the item identifiers, associated withthe items included in the order, include price descriptors (block 605).For example, the transaction terminal (e.g., transaction terminal 220,using processor 320, memory 330, storage component 340, input component350, communication interface 370, and/or the like) may receive receiptinformation associated with items included in an order, as describedabove in connection with FIGS. 1A-1F. In some implementations, thereceipt information may include item identifiers associated with theitems included in the order. In some implementations, the itemidentifiers, associated with the items included in the order, mayinclude price descriptors.

As further shown in FIG. 6, process 600 may include receiving productinformation associated with the items included in the order, wherein theproduct information includes product identifiers based on images of theitems included in the order, and wherein the product identifiers, basedon the images of the items included in the order, include objectdescriptors (block 610). For example, the transaction terminal (e.g.,transaction terminal 220, using processor 320, memory 330, storagecomponent 340, input component 350, communication interface 370, and/orthe like) may receive product information associated with the itemsincluded in the order, as described above in connection with FIGS.1A-1F. In some implementations, the product information may includeproduct identifiers based on images of the items included in the order.In some implementations, the product identifiers, based on the images ofthe items included in the order, may include object descriptors.

As further shown in FIG. 6, process 600 may include mapping a first itemidentifier associated with a first item included in the order and afirst product identifier for determining that the first item included inthe order corresponds to a first price descriptor and a first objectdescriptor (block 615). For example, the transaction terminal (e.g.,transaction terminal 220, using processor 320, memory 330, storagecomponent 340, communication interface 370, and/or the like) may map afirst item identifier associated with a first item included in the orderand a first product identifier for determining that the first itemincluded in the order corresponds to a first price descriptor and afirst object descriptor, as described above in connection with FIGS.1A-1F.

As further shown in FIG. 6, process 600 may include mapping a seconditem identifier associated with a second item included in the order anda second product identifier for determining that the second itemincluded in the order corresponds to a second price descriptor and asecond object descriptor (block 620). For example, the transactionterminal (e.g., transaction terminal 220, using processor 320, memory330, storage component 340, communication interface 370, and/or thelike) may map a second item identifier associated with a second itemincluded in the order and a second product identifier for determiningthat the second item included in the order corresponds to a second pricedescriptor and a second object descriptor, as described above inconnection with FIGS. 1A-1F.

As further shown in FIG. 6, process 600 may include assigning the firstitem included in the order to a first sub-receipt based on determiningthat the first item included in the order corresponds to the first pricedescriptor and the first object descriptor (block 625). For example, thetransaction terminal (e.g., transaction terminal 220, using processor320, memory 330, storage component 340, communication interface 370,and/or the like) may assign the first item included in the order to afirst sub-receipt based on determining that the first item included inthe order corresponds to the first price descriptor and the first objectdescriptor, as described above in connection with FIGS. 1A-1F.

As further shown in FIG. 6, process 600 may include assigning the seconditem included in the order to a second sub-receipt based on determiningthat the second item included in the order corresponds to the secondprice descriptor and the second object descriptor (block 630). Forexample, the transaction terminal (e.g., transaction terminal 220, usingprocessor 320, memory 330, storage component 340, communicationinterface 370, and/or the like) may assign the second item included inthe order to a second sub-receipt based on determining that the seconditem included in the order corresponds to the second price descriptorand the second object descriptor, as described above in connection withFIGS. 1A-1F.

As further shown in FIG. 6, process 600 may include presenting the firstsub-receipt for payment by a first customer (block 635). For example,the transaction terminal (e.g., transaction terminal 220, usingprocessor 320, memory 330, storage component 340, output component 360,communication interface 370, and/or the like) may present the firstsub-receipt for payment by a first customer, as described above inconnection with FIGS. 1A-1F.

As further shown in FIG. 6, process 600 may include presenting thesecond sub-receipt for payment by a second customer (block 640). Forexample, the transaction terminal (e.g., transaction terminal 220, usingprocessor 320, memory 330, storage component 340, output component 360,communication interface 370, and/or the like) may present the secondsub-receipt for payment by a second customer, as described above inconnection with FIGS. 1A-1F.

As further shown in FIG. 6, process 600 may include receiving a requestto modify the first sub-receipt, wherein the request to modify the firstsub-receipt identifies a third item included in the order to be addedthe first sub-receipt (block 645). For example, the transaction terminal(e.g., transaction terminal 220, using processor 320, memory 330,storage component 340, input component 350, communication interface 370,and/or the like) may receive a request to modify the first sub-receipt,as described above in connection with FIGS. 1A-1F. In someimplementations, the request to modify the first sub-receipt identifiesa third item included in the order to be added the first sub-receipt.

As further shown in FIG. 6, process 600 may include assigning the thirditem included in the order to the first sub-receipt, to form a modifiedfirst sub-receipt, based on receiving the request to modify the firstsub-receipt (block 650). For example, the transaction terminal (e.g.,transaction terminal 220, using processor 320, memory 330, storagecomponent 340, communication interface 370, and/or the like) may assignthe third item included in the order to the first sub-receipt, to form amodified first sub-receipt, based on receiving the request to modify thefirst sub-receipt, as described above in connection with FIGS. 1A-1F.

As further shown in FIG. 6, process 600 may include presenting themodified first sub-receipt for payment by the first customer (block655). For example, the transaction terminal (e.g., transaction terminal220, using processor 320, memory 330, storage component 340, outputcomponent 360, communication interface 370, and/or the like) may presentthe modified first sub-receipt for payment by the first customer, asdescribed above in connection with FIGS. 1A-1F.

Process 600 may include additional implementations, such as any singleimplementation or any combination of implementations described belowand/or in connection with the one or more processes described elsewhereherein.

In some implementations, process 600 may further include receiving arequest to combine the first sub-receipt with the second sub-receipt toform a total receipt, receiving a request to pay the total receipt, andprocessing a plurality of transaction cards to pay the total receipt. Insome implementations, process 600 may further include receiving arequest to combine the first sub-receipt with the second sub-receipt toform a combined receipt, receiving a request to pay the combinedreceipt, and processing a first transaction card to pay the combinedreceipt.

In some implementations, process 600 may further include detecting apresence of a first transaction card at a first location matching thefirst object descriptor based on determining that the first itemincluded in the order corresponds to the first price descriptor and thefirst object descriptor, and automatically processing the firsttransaction card to pay the first sub-receipt.

In some implementations, process 600 may further include mapping afourth item identifier associated with a fourth item included in theorder and a fourth product identifier for determining that the fourthitem included in the order corresponds to a fourth price descriptor anda fourth object descriptor, assigning the fourth item included in theorder to a third sub-receipt based on determining that the fourth itemincluded in the order corresponds to the fourth price descriptor and thefourth object descriptor, and presenting the third sub-receipt forpayment by a third customer.

Although FIG. 6 shows example blocks of process 600, in someimplementations, process 600 may include additional blocks, fewerblocks, different blocks, or differently arranged blocks than thosedepicted in FIG. 6. Additionally, or alternatively, two or more of theblocks of process 600 may be performed in parallel.

Some implementations described herein provide a transaction terminal 220that is capable of receiving, processing, analyzing, and/or correlatingreceipt information and product information to automatically generateand/or present multiple sub-receipts based on one receipt for an orderby multiple customers. The transaction terminal 220 may further automatepayment processing for the multiple sub-receipts for the order bymultiple customers. In this way, the transaction terminal 220 obviatesthe need for manually splitting the one receipt into multiple receiptsand/or manually processing multiple payments for the one receipt by amerchant employee.

In this way, the transaction terminal 220 improves the efficiency atwhich payment transactions are processed and/or completed by virtue ofautomated receipt splitting, payment presentation, and/or paymentprocessing. For example, the transaction terminal 220 described hereinobviates the need to manually split a receipt into multiplesub-receipts, thereby reducing errors associated with billing forpayment transactions. Furthermore, providing the transaction terminal220 with a user interface facilitates automated sub-receipt presentationwhile enabling modification of the sub-receipts, and enables payments tobe completed without intervention by a merchant employee. Additionally,providing the transaction terminal 220 with the user interface enablescustomers to customize the itemization of sub-receipts and/or thepayment of the sub-receipts without the need for intervention by themerchant employee. Furthermore, providing the transaction terminal 220with the user interface obviates the need for customers having todownload or utilize extraneous payment applications for completingpayment transactions, thereby conserving computing resources, andreducing network traffic.

Additionally, the transaction terminal 220 can further automate theprocedures and/or processes for responding to one or more declinedpayments for an order that includes multiple payments. For example, thetransaction terminal 220 may execute a set of predetermined rules orinstructions that instruct the transaction terminal to process thetransaction cards approved for the order including multiple payments tosettle the declined payment. Additionally, or alternatively, thetransaction terminal 220 may receive customer input via the userinterface to receive instructions from one or more customers associatedwith the order including multiple payments on how to respond to thedeclined payment.

The foregoing disclosure provides illustration and description, but isnot intended to be exhaustive or to limit the implementations to theprecise form disclosed. Modifications and variations are possible inlight of the above disclosure or may be acquired from practice of theimplementations.

As used herein, the term component is intended to be broadly construedas hardware, firmware, or a combination of hardware and software.

Certain user interfaces have been described herein and/or shown in thefigures. A user interface may include a graphical user interface, anon-graphical user interface, a text-based user interface, or the like.A user interface may provide information for display. In someimplementations, a user may interact with the information, such as byproviding input via an input component of a device that provides theuser interface for display. In some implementations, a user interfacemay be configurable by a device and/or a user (e.g., a user may changethe size of the user interface, information provided via the userinterface, a position of information provided via the user interface,etc.). Additionally, or alternatively, a user interface may bepre-configured to a standard configuration, a specific configurationbased on a type of device on which the user interface is displayed,and/or a set of configurations based on capabilities and/orspecifications associated with a device on which the user interface isdisplayed.

It will be apparent that systems and/or methods, described herein, maybe implemented in different forms of hardware, firmware, or acombination of hardware and software. The actual specialized controlhardware or software code used to implement these systems and/or methodsis not limiting of the implementations. Thus, the operation and behaviorof the systems and/or methods were described herein without reference tospecific software code—it being understood that software and hardwarecan be designed to implement the systems and/or methods based on thedescription herein.

Even though particular combinations of features are recited in theclaims and/or disclosed in the specification, these combinations are notintended to limit the disclosure of possible implementations. In fact,many of these features may be combined in ways not specifically recitedin the claims and/or disclosed in the specification. Although eachdependent claim listed below may directly depend on only one claim, thedisclosure of possible implementations includes each dependent claim incombination with every other claim in the claim set.

No element, act, or instruction used herein should be construed ascritical or essential unless explicitly described as such. In addition,as used herein, the articles “a” and “an” are intended to include one ormore items, and may be used interchangeably with “one or more.”Furthermore, as used herein, the term “set” is intended to include oneor more items (e.g., related items, unrelated items, a combination ofrelated and unrelated items, etc.), and may be used interchangeably with“one or more.” Where only one item is intended, the term “one” orsimilar language is used. In addition, as used herein, the terms “has,”“have,” “having,” or the like are intended to be open-ended terms.Further, the phrase “based on” is intended to mean “based, at least inpart, on” unless explicitly stated otherwise.

What is claimed is:
 1. A method, comprising: training, by a platformdevice, an imaging model to match incoming image data to productidentifiers; receiving, by the platform device and from an image capturedevice, a first image and first location data, the first image beingassociated with one or more first items included in an order, and thefirst location data corresponding to a location of a first customerassociated with the one or more first items included in the order;receiving, by the platform device and from the image capture device, asecond image and second location data, the second image being associatedwith one or more second items included in the order, and the secondlocation data corresponding to a location of a second customerassociated with the one or more second items included in the order;generating, by the platform device, based on training the imaging model,and based on the first image, the second image, the first location data,and the second location data, product information; and sending, by theplatform device and to a transaction terminal, the product information.2. The method of claim 1, further comprising: obtaining metadata bypassing the first image and the second image through an objectrecognition or image recognition technique; and passing the metadatathrough the imaging model; and where generating the product informationcomprises: generating the product information based on passing themetadata through the imaging model.
 3. The method of claim 1, where adata structure containing the product identifiers is accessed by theimaging model to match the incoming image data.
 4. The method of claim1, where training the imaging model comprises: training the imagingmodel using object descriptors.
 5. The method of claim 1, where theproduct information is mapped with receipt information.
 6. The method ofclaim 1, where the product information includes at least one of: aproduct identifier for the one or more first items, a product identifierfor the one or more second items, an object descriptor for the one ormore first items, or an object descriptor for the one or more seconditems.
 7. A device, comprising: a memory; and one or more processors to:train an imaging model to match incoming image data to productidentifiers; receive, from an image capture device, first image data andfirst location data, the first image data being associated with one ormore first items included in an order, and the first location datacorresponding to a location of a first customer associated with the oneor more first items included in the order; receive, from the imagecapture device, second image data and second location data, the secondimage data being associated with one or more second items included inthe order, and the second location data corresponding to a location of asecond customer associated with the one or more second items included inthe order; generate, based on training the imaging model and based onthe first image data, the second image data, the first location data,and the second location data, product information; and send, to atransaction terminal, the product information.
 8. The device of claim 7,where the first location data corresponds to one or more first objectdescriptors associated with the one or more first items; where a firstimage file, of the first image data, includes the one or more firstobject descriptors; where the second location data corresponds to one ormore second object descriptors associated with the one or more seconditems; and where a second image file, of the second image data, includesthe one or more second object descriptors.
 9. The device of claim 7,where the first location data corresponds to one or more first objectdescriptors associated with the one or more first items; where the oneor more first object descriptors are based on a first tag or labelpositioned or disposed proximate to the one or more first items; wherethe second location data corresponds to one or more second objectdescriptors associated with the one or more second items; and where theone or more second object descriptors are based on a second tag or labelpositioned or disposed proximate to the one or more second items. 10.The device of claim 7, where the first location data corresponds to oneor more first object descriptors associated with the one or more firstitems; where the one or more first object descriptors include one ormore first spatial descriptors that are based on at least one of: one ormore first locations corresponding to where the one or more first itemswere ordered, one or more second locations corresponding to where theone or more first items were delivered, or one or more third locationscorresponding to where the one or more first items were consumed; wherethe second location data corresponds to one or more second objectdescriptors associated with the one or more second items; and where theone or more second object descriptors include one or more second spatialdescriptors that are based on at least one of: one or more fourthlocations corresponding to where the one or more second items wereordered, one or more fifth locations corresponding to where the one ormore second items were delivered, or one or more sixth locationscorresponding to where the one or more second items were consumed. 11.The device of claim 7, where the location of the first customercorresponds to a seat or a table setting of the first customer; andwhere the location of the second customer corresponds to a seat or atable setting of the second customer.
 12. The device of claim 7, wherethe first image data include a still image or a video.
 13. Anon-transitory computer-readable medium storing instructions, theinstructions comprising: one or more instructions that, when executed byone or more processors, cause the one or more processors to: train animaging model to match incoming image data to product identifiers;receive, from an image capture device, first image data and firstlocation data, the first image data being associated with one or morefirst items included in an order, and the first location datacorresponding to a location of a first customer associated with the oneor more first items included in the order; receive, from the imagecapture device, second image data and second location data, the secondimage data being associated with one or more second items included inthe order, and the second location data corresponding to a location of asecond customer associated with the one or more second items included inthe order; generate, based on training the imaging model and based onthe first image data, the second image data, the first location data,and the second location data, product information; and send, to atransaction terminal, the product information.
 14. The non-transitorycomputer-readable medium of claim 13, where the one or moreinstructions, when executed by the one or more processors, further causethe one or more processors to: obtain metadata by passing the firstimage data and the second image data through an object recognition orimage recognition technique; and pass the metadata through the imagingmodel; and where the one or more instructions, that cause the or moreprocessors to generate the product information, cause the one or moreprocessors to: generate the product information based on passing themetadata.
 15. The non-transitory computer-readable medium of claim 13,where the one or more instructions, when executed by the one or moreprocessors, further cause the one or more processors to: analyze, usingthe imaging model, the first image data; and output, based on analyzingthe first image data, a product identifier.
 16. The non-transitorycomputer-readable medium of claim 15, where the one or moreinstructions, when executed by the one or more processors, further causethe one or more processors to: match the product identifier and anobject descriptor; and where the one or more instructions, that causethe one or more processors to send the product information, cause theone or more processors to: send the product identifier and the objectdescriptor.
 17. The non-transitory computer-readable medium of claim 13,where the one or more instructions, that cause the one or moreprocessors to train the imaging model, cause the one or more processorsto: train the imaging model using object descriptors.
 18. Thenon-transitory computer-readable medium of claim 13, where the firstlocation data corresponds to one or more first object descriptorsassociated with the one or more first items; where a first image file,of the first image data, includes the one or more first objectdescriptors; where the second location data corresponds to one or moresecond object descriptors associated with the one or more second items;and where a second image file, of the second image data, includes theone or more second object descriptors.
 19. The method of claim 1, wherethe first location data corresponds to one or more first objectdescriptors associated with the one or more first items; where the oneor more first object descriptors include one or more first spatialdescriptors that are based on at least one of: one or more firstlocations corresponding to where the one or more first items wereordered, one or more second locations corresponding to where the one ormore first items were delivered, or one or more third locationscorresponding to where the one or more first items were consumed; wherethe second location data corresponds to one or more second objectdescriptors associated with the one or more second items; and where theone or more second object descriptors include one or more second spatialdescriptors that are based on at least one of: one or more fourthlocations corresponding to where the one or more second items wereordered, one or more fifth locations corresponding to where the one ormore second items were delivered, or one or more sixth locationscorresponding to where the one or more second items were consumed. 20.The device of claim 7, where the one or more processors, to train theimaging model, are configured to: train the imaging model using objectdescriptors.